Free registration is now open https://bit.ly/3pwUwlG - tickets are limited and open to non-authors.
Call for Abstracts: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023) Dear all, join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University. We welcome researchers and practitioners to submit abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages. The extended versions of the accepted abstracts will appear in the Computing Research Repository (CoRR), subject to the number of abstracts received and being in English. Although the workshop will be conducted in English, for the first time, we are accepting submissions in a different language, starting with Arabic. Arabic speaking authors, are encouraged to submit their abstracts in Arabic. Presentations will be recorded with subtitles pre-added in by the authors. The organisers will live translate the Q&As. We plan to extend this option to other languages in future events. Due to lack of resources we are unable to provide live translation from English to Arabic during the workshop but we are open for free-of-charge solutions (please send suggestion to the organisers directly). The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop. Important Dates: - Due date for workshop abstract submission: July 17, 2023 - Notification of abstract acceptance to authors: August 1, 2023 - Workshop date: September 5, 2023 (online event) We are pleased to announce the following keynote speakers for the workshop: - Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan. - Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco. The main objectives of the workshop are three-fold: 1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy. 2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges. 3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages. Abstract submission: Abstract submission page is now open, please submit abstracts of no more than 500 words either in English or Arabic https://easychair.org/conferences/?conf=rlrl2023 Topics of interest include, but are not limited to: - Machine learning for text readability - Applications of readability assessment - Readability in low-resource languages - Comprehensibility measures - Mathematical representations of readability levels - Text simplification for low-resource languages - Readability and comprehensibility in language learning - The effects of text simplification on readability - Readability frameworks for indigenous languages - Updating readability representations We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023. RLRL 2023 Organisers: - Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University) - Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University) - Prof. Hend Al Khalifa (iWAN, King Saud University) https://wp.lancs.ac.uk/acc/rlrl2023/ Best wishes, Mahmoud --------------------- Dr Mo El-Haj Senior Lecturer in NLP Co-Director of UCREL NLP Group Strategic Lead of Arabic and Financial NLP Research School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj
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